Richard Droste

According to our database, Richard Droste authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Domain Aligned CLIP for Few-shot Classification.

Muhammad Waleed Gondal, Jochen Gast, Inigo Alonso Ruiz, Richard Droste, Tommaso Macrì, Suren Kumar, Luitpold Staudigl

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding.

Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Advancing ultrasound image analysis by capturing operator gaze patterns.

Richard Droste

PhD thesis, 2021

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.

Harshita Sharma, Lior Drukker, Pierre Chatelain, Richard Droste, Aris T. Papageorghiou, J. Alison Noble

Medical Image Anal., 2021

Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval.

Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry.

Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.

Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Medical Image Anal., 2020

Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking.

Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound.

Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-Supervised Representation Learning for Ultrasound Video.

Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Discovering Salient Anatomical Landmarks by Predicting Human Gaze.

Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, Julia Alison Noble

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unified Image and Video Saliency Modeling.

Richard Droste, Jianbo Jiao, J. Alison Noble

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction.

Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans.

Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention.

Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Proceedings of the Information Processing in Medical Imaging, 2019